takes place on April 19th at
15:00 in Room INF-3027. Attending the initial meeting is mandatory for participation in the
praktika and/or project.
People who want to participate in the praktikum/project, but have
serious reasons to not attend the initial meeting, please contact
Rafael Peñaloza (CL Projects, Master-Praktikum) or Anni-Yasmin Turhan (Komplexpraktikum, Diplom-Praktikum) before April 18.
Position in curriculum
- Diplomstudiengang Informatik (Diplom-
und Bakkalaureatsabschluß), ab 5. Semester;
Wahlpflichtveranstaltung (-/-/4); INF-PM-FPG (-/-/8)
- Course of studies Computation Logic; project (12 credits)
- Masterstudiengang Informatik; Wahlpflichtveranstaltung (-/-/8)
Prerequisites
for computer scientists: Pflichtvorlesung "Grundlagen der Theoretischen Informatik"
Organisation
-There will be an initial meeting (see above) where different topics will be proposed
to the students. Students can chose from the offered topics, one to work on. Important the number of hours of the topic must coincide with the hours required for the praktikum/project.
- Students interested in participating, but unable to assist to the initial meeting
should contact
Rafael Peñaloza or
Anni-Yasmin Turhan
to discuss possible solutions.
- Each student is assigned a tutor, depending on the topic
chosen. During the semester, there will be regular meetings of the
student and his tutor.
- The results of the praktikum/project will be presented at the end of the
semester in a talk given by the student.
Language
Concerning the
final presentations, students may choose to present their work in German or in English.
Participants Duties
The participants are expected to read the relevant literature,
and to discuss it with their tutor in order to become acquainted with
the topic chosen. The required implementation work (if any) should be carried
out in a structured way, and has to be documented appropriately. If a
topic is shared by two or more participants, acquiring team-working
skills is another goal of the project. The results of the project have
to be described in a project paper (~15 pages) and presented in a 30 minutes talk at
the end of the semester.
It is also the duty of the participants to reserve enough time for
performing the project. The sharp deadline
for finishing the project is the beginning of the following semester,
i.e. the allowed time for the project is one semester plus the
following semester break. Failure to finish the project in time will
result in no credits to be given. It is the obligation of the participant
to start the project in time, and to make appointments with the supervisor
for regular meetings during the semester.
Topics
When
choosing a topic, please take into account the knowledge you have already
acquired. For example, if you'd like to do a project concerning knowledge
representation, you are expected to have successfully attended the
lecture "Logic-based knowledge representation" before
starting the project.
(1) Finite Herbrand Models for Horn Clauses
Deciding the existence of finite Herbrand models for certain sets of
first-order anti-Horn clauses is ExpTime-complete. The aim of this
project is to analyze the computational complexity of the same problem
for Horn clauses by finding a hardness proof and/or a decision procedure.
This project requires basic knowledge about first-order logic and complexity
theory.
The aim of this project is to implement and optimize an algorithm for
deciding the existence of finite Herbrand models for certain sets of
first-order anti-Horn clauses. The program should be evaluated on a
representative set of input problems. The programming language can be
chosen by the student.
This project requires basic knowledge about first-order logic and good
programming skills.
When dealing with vast ammounts of knowledge, it is important to be able to explain why some consequence holds.
Typically, a single consequence can have more than one explanation. The aim of this project is to study methods
for computing the best explanation efficiently, when possible, and identifying the cases where this is
a hard problem.
Basic knowledge of complexity theory and Description Logics is useful, but not required.
As ontologies grow in size, so increases the need for a tool that helps debugging unexpected consequences of their knowledge.
The goal of this project is to implement a tool that receives as input information from a user on which consequences should be
removed and which should remain, and suggests minimal changes to satisfy these conditions. The tool is allowed to call external
reasoners and editors, if needed.
This is a practical topic that requires good programming skills.
Constructing ontologies is an expensive and time-consuming task. The
goal of this project is to experimentally evaluate an approach of
learning terminological axioms from data, which are "almost true" in
the data. To this end, existing software should be applied to new
data sets and the results should be evaluated for reasonability.
This project does not require extensive programming. However, it is
necessary to understand the underlying theory to a certain extent, and
it is thus helpful to have prior knowledge of Description Logics and
Formal Concept Analysis.